CV/ML Generalist Engineer

Summary

Apple is looking for a creative, versatile Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team of leading researchers and engineers. The team builds generative machine learning-based systems and frameworks for image and video generation, with a focus on human subjects. You'll work in a fast-paced, startup-like environment and help the team scale through smart engineering and AI-driven tools. You'll also work with cross-functional partners to build the algorithms and systems behind Apple's next-generation products.

Description

The ideal candidate has both strong computer vision and ML foundations and hands-on engineering experience with agentic workflows. You're comfortable owning complex systems from start to finish: building, evaluating, and shipping them. You're self-driven, act without waiting for direction, and communicate well with people at every level of the organization.
You'll be a strong candidate if you have deep experience in two or more of the following areas:

• Generative CV/ML research and algorithm development, especially image and video synthesis
• Building large-scale, end-to-end computer vision systems with AI coding agents
• Human-centric computer vision problems, such as digital humans, motion synthesis, body tracking, or generative avatars
• Neural rendering or world models

  Responsibilities

  • Build and improve image and video generation models, algorithms, and systems, especially for human subjects.
  • Own vision-based systems end to end, from prototype to production.
  • Build new technology and maintain existing systems, using AI tools / coding tools to work faster.
  • Work with other researchers, engineers, and cross-functional partners to turn research into product-ready solutions.

  Minimum Qualifications

  • BS in Computer Science or a related field and 3+ years of relevant experience, or equivalent experience.
  • High agency: you take ownership and drive work forward on your own.
  • Excellent problem-solving, critical-thinking, and communication skills.
  • Strong theoretical and practical knowledge of machine learning and deep learning.
  • Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.
  • Strong programming skills in Python and/or C++, and experience with a deep learning framework such as PyTorch or JAX.

  Preferred Qualifications

  • PhD in Computer Science, Machine Learning, or a related field.
  • Deep expertise in computer vision and machine learning, with a strong focus on deep generative models (e.g., GANs, VAEs, diffusion models)
  • Knowledge of modern vision data visualization methods, such as 3D Gaussian Splatting, neural volume rendering, is a plus
  • Familiarity with modern graphics technology for high-fidelity 3D human generation, such as photogrammetry, computational hair modeling, physics-based hair/cloth simulation, or physically-based shading, would be a plus
  • Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums, demonstrating your contributions to advancing the state-of-the-art in computer vision and machine learning, is a plus

  Pay & Benefits

  At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant